CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk

Abstract The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapie...

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Main Authors: Xilong Zhao, Jiashuo Wu, Jiyin Lai, Bingyue Pan, Miao Ji, Xiangmei Li, Yalan He, Junwei Han
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Science
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Online Access:https://doi.org/10.1002/advs.202408007
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author Xilong Zhao
Jiashuo Wu
Jiyin Lai
Bingyue Pan
Miao Ji
Xiangmei Li
Yalan He
Junwei Han
author_facet Xilong Zhao
Jiashuo Wu
Jiyin Lai
Bingyue Pan
Miao Ji
Xiangmei Li
Yalan He
Junwei Han
author_sort Xilong Zhao
collection DOAJ
description Abstract The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapies. However, current cell infiltration analysis methods only partially describe the TME's cellular landscape and overlook cell‐cell crosstalk. Here, this approach, CITMIC, can infer the cell infiltration of TME by simultaneously measuring 86 different cell types, constructing an individualized cell‐cell crosstalk network based on functional similarities between cells, and using only gene transcription data. This is a novel approach to estimating the relative cell infiltration levels, which are shown to be superior to the current methods. The TME cell‐based features generated by analyzing melanoma data are effective in predicting prognosis and treatment response. Interestingly, these features are found to be particularly effective in assessing the prognosis of high‐stage patients, and this method is applied to multiple high‐stage adenocarcinomas, where more significant prognostic performance is also observed. In conclusion, CITMIC offers a more comprehensive description of TME cell composition by considering cell‐cell crosstalk, providing an important reference for the discovery of predictive biomarkers and the development of new therapeutic strategies.
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institution Kabale University
issn 2198-3844
language English
publishDate 2025-01-01
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spelling doaj-art-52c01141875b480281e84bb3c6efbd052025-01-09T11:44:45ZengWileyAdvanced Science2198-38442025-01-01121n/an/a10.1002/advs.202408007CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular CrosstalkXilong Zhao0Jiashuo Wu1Jiyin Lai2Bingyue Pan3Miao Ji4Xiangmei Li5Yalan He6Junwei Han7College of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaCollege of Bioinformatics Science and Technology Harbin Medical University Harbin 150081 ChinaAbstract The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapies. However, current cell infiltration analysis methods only partially describe the TME's cellular landscape and overlook cell‐cell crosstalk. Here, this approach, CITMIC, can infer the cell infiltration of TME by simultaneously measuring 86 different cell types, constructing an individualized cell‐cell crosstalk network based on functional similarities between cells, and using only gene transcription data. This is a novel approach to estimating the relative cell infiltration levels, which are shown to be superior to the current methods. The TME cell‐based features generated by analyzing melanoma data are effective in predicting prognosis and treatment response. Interestingly, these features are found to be particularly effective in assessing the prognosis of high‐stage patients, and this method is applied to multiple high‐stage adenocarcinomas, where more significant prognostic performance is also observed. In conclusion, CITMIC offers a more comprehensive description of TME cell composition by considering cell‐cell crosstalk, providing an important reference for the discovery of predictive biomarkers and the development of new therapeutic strategies.https://doi.org/10.1002/advs.202408007cell‐cell crosstalkcell infiltrationindividualized analysisnetwork analysistumor microenvironment
spellingShingle Xilong Zhao
Jiashuo Wu
Jiyin Lai
Bingyue Pan
Miao Ji
Xiangmei Li
Yalan He
Junwei Han
CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
Advanced Science
cell‐cell crosstalk
cell infiltration
individualized analysis
network analysis
tumor microenvironment
title CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
title_full CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
title_fullStr CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
title_full_unstemmed CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
title_short CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk
title_sort citmic comprehensive estimation of cell infiltration in tumor microenvironment based on individualized intercellular crosstalk
topic cell‐cell crosstalk
cell infiltration
individualized analysis
network analysis
tumor microenvironment
url https://doi.org/10.1002/advs.202408007
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AT bingyuepan citmiccomprehensiveestimationofcellinfiltrationintumormicroenvironmentbasedonindividualizedintercellularcrosstalk
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